Finance Software/AI Engineer (Fintech)

TL;DR

Finance Software/AI Engineer (Fintech): Designing and developing enterprise software and AI-powered applications for finance, actuarial, and insurance platforms with an accent on automation, LLM integration, and cloud-based scalability. Focus on building RAG-based tools, optimizing financial workflows, and ensuring regulatory compliance within a high-growth insurtech environment.

Location: Must be based in the United States

hirify.global is a fast-growing, technology-driven annuity carrier startup focused on redefining retirement security through modern fintech capabilities.

What you will do

• Design and maintain enterprise applications, APIs, and integrations for finance, accounting, and actuarial functions.
• Develop and deploy AI-powered solutions including conversational assistants and document intelligence tools.
• Leverage LLMs, prompt engineering, and RAG to automate complex financial and operational processes.
• Partner with data engineering teams to build pipelines, reporting solutions, and predictive analytics dashboards.
• Ensure security, auditability, and regulatory compliance across all software and AI initiatives.

Requirements

• 7+ years of experience in software engineering, AI engineering, or machine learning.
• Strong proficiency in Python and experience building enterprise-grade APIs and cloud solutions.
• Hands-on experience with Generative AI, LLMs, and AI application development.
• Familiarity with cloud platforms (AWS, Azure, or GCP), CI/CD, and Docker.
• Must be authorized to work in the United States.

Nice to have

• Experience supporting finance, accounting, treasury, or actuarial environments.
• Understanding of financial reporting, forecasting, or investment operations.
• Exposure to annuities, insurance products, or policy administration systems.

Culture & Benefits

• Opportunity to shape the technology foundation of a rapidly growing insurtech organization.
• High-impact work directly influencing business performance and strategic decision-making.
• Exposure to cutting-edge AI technologies and modern software architectures.
• Collaborative environment with direct partnership opportunities with executive leadership.